COURSE DESCRIPTION:

A survey of statistical and quantitative techniques used in problem solving and decision making. Topics covered include introduction to statistics, preparing the data file, preliminary analyses, overview of the different statistical techniques, statistical techniques to explore relationships among variables, statistical techniques to compare groups, non-parametric statistics and other research writing requisites.

COURSE OBJECTIVES

This course is designed to provide students with an overview of quantitative research methodology applicable to the investigation of organizational phenomena. It is intended to introduce the fundamental skills and concepts needed to design and conduct behavioral research for research degree students and to enhance the students’ ability to evaluate the research of others. It is designed to master students’ ability in empirical econometric analysis of economic and social sciences data.

 

COURSE PROCEDURES AND REQUIREMENTS

1.      Each session to begin with a devotion and prayer.

2.      As stewards of time students are expected to be punctual in all classes and are expected to submit their assignments as they fall due.

3.      Effort and involvement are as essential for learning as they are for success in your career. To help assure your success, participation in all activities of this course is expected. Your program will identify any specific requirements applicable to this class and delivery method.

4.      Each student is encouraged to participate in the class activities meaningfully.

5.      Students are encouraged to work in small groups, but should refrain from duplicating or photocopying other student’s work.  All assignments must reflect each student’s work and ingenuity. Academic dishonesty is considered to be an extremely serious academic offence.

6.      Late work won’t be tolerated.

 

COURSE CONTENTS

1.      Introduction to Statistics.

1.1  Introduction

1.2  Statistics and Statistical Methods

1.3  Functions of Statistics

1.4  Limitations of Statistics

1.5  Statistics in Business and Management

 

2.      Preparing the Data File

 

2.1  Introduction

2.2  Drafting Questionnaire

2.3  Sample Selection

2.4  Data Collection

2.5  Data Classification (Excel & SPSS)

2.6  Screening and Cleaning the Data

 

3.      Preliminary Analyses

 

3.1  Descriptive Statistics

3.2  Using Graphs to Describe and Explore the Data

3.3  Manipulating the Data

3.4  Missing Data

3.5  Checking the Reliability of a Scale

3.6  Choosing the Right Statistic

 

4.      Overview of the Different Statistical Techniques

 

4.1  Choosing the Right Statistic

4.2  Exploring Relationships

4.3  Pearson Correlation

4.4  Partial Correlation

4.5  Multiple Regression

4.6  Factor Analysis

4.7  Exploring Differences Between Groups

4.8  The Decision-Making Process

4.9  Key Features of the Major Statistical Techniques

 

5.      Statistical Techniques to Explore Relationships Among Variables

 

5.1  Correlation

5.2  Partial Correlation

5.3  Multiple Regression

5.4  Logistic Regression

5.5  Factor Analysis

 

6.      Statistical Techniques to Compare Groups (Association)

 

6.1  T-Tests

6.2  One-Way Analysis of Variance (ANOVA)

6.3  Two-Way Between-Groups ANOVA

6.4  Mixed Between-Within Subjects Analysis of Variance

6.5  Multivariate Analysis of Variance (MANOVA)

6.6  Analysis of Covariance  (ANCOVA)

 

7.      Non-Parametric Statistics

 

7.1  Assumptions for non-parametric techniques

7.2  Mann-Whitney U Test

7.3  Wilcoxon Signed Rank Test

7.4  Kruskal-Wallis Test

7.5  Friedman Test

7.6  Spearman’s Rank Order Correlation

7.7  Chi-square

8.      Other Research Writing Requisites

8.1  Table of Contents format

8.2  Referencing (APA Style)

 

Grading System

Your final grade for the course will be determined on the basis of the following tentative weights.

 

Assignments                            15%

Project                                     25%

Final Exam                              60%

 

Link for SPSS Software Package:

https://www.dropbox.com/sh/za8zxr83le9l7r7/AAAwcVrrS7q6r6SJ8Cc7NK6Aa?oref=e

 

Link for SPSS Manual:

http://spss.allenandunwin.com.s3-website-ap-southeast-2.amazonaws.com/

 

 

 Recommended Reading:

 

Claire, M. (2000). Quantitative Approach in Business Studies. Harlow England; New York: FT/Prentice Hall.

John, B. (2005). Quantitative Methods for Business. The A – Z of QM . Heineman: Elservier Butterworth.

John, B. (2012). Quantitative Methods for Business and Management. Horlow, England: Pearson Education Ltd.

Redeling, H. (2007). Quantitative Methods for Managerial Decisions. New York: McGraw-Hill.

Waters, C. (2011). Quantitative Methods for Business. England: Financial Times Prentice Hall.

 

 

 

 


COURSE DESCRIPTION:

A survey of statistical and quantitative techniques used in problem solving and decision making. Topics covered include introduction to statistics, preparing the data file, preliminary analyses, overview of the different statistical techniques, statistical techniques to explore relationships among variables, statistical techniques to compare groups, non-parametric statistics and other research writing requisites.

COURSE OBJECTIVES

This course is designed to provide students with an overview of quantitative research methodology applicable to the investigation of organizational phenomena. It is intended to introduce the fundamental skills and concepts needed to design and conduct behavioral research for research degree students and to enhance the students’ ability to evaluate the research of others. It is designed to master students’ ability in empirical econometric analysis of economic and social sciences data.